LEADER 04562nam 22007335 450 001 9910299836303321 005 20200629163439.0 010 $a3-319-16417-1 024 7 $a10.1007/978-3-319-16417-5 035 $a(CKB)3710000000434066 035 $a(EBL)2094526 035 $a(SSID)ssj0001525117 035 $a(PQKBManifestationID)11816143 035 $a(PQKBTitleCode)TC0001525117 035 $a(PQKBWorkID)11486099 035 $a(PQKB)10958508 035 $a(DE-He213)978-3-319-16417-5 035 $a(MiAaPQ)EBC2094526 035 $a(PPN)186395337 035 $a(EXLCZ)993710000000434066 100 $a20150610d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aState Estimation and Control for Low-cost Unmanned Aerial Vehicles /$fby Chingiz Hajiyev, Halil Ersin Soken, S?tk? Yenal Vural 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (239 p.) 300 $aDescription based upon print version of record. 311 $a3-319-16416-3 320 $aIncludes bibliographical references and index. 327 $aIntroduction to Unmanned Aerial Vehicles -- Equations of Motion for the UAV -- Navigation Systems for UAV -- Estimation of the UAV Dynamics -- Estimation of the UAV Dynamics -- Estimation of the UAV Dynamics in the Presence of Sensor Faults -- Estimation of the UAV Dynamics in the Presence of Sensor/Actuator Faults -- Fault Detection, Isolation and Data Fusion for the UAV Air Data System -- Stability Analysis for the UAV -- Classical Controller Design for the UAV -- LQR Controller Design -- Fuzzy Logic Based Controller Design. 330 $aThis book discusses state estimation and control procedures for a low-cost unmanned aerial vehicle (UAV). The authors consider the use of robust adaptive Kalman filter algorithms and demonstrate their advantages over the optimal Kalman filter in the context of the difficult and varied environments in which UAVs may be employed. Fault detection and isolation (FDI) and data fusion for UAV air-data systems are also investigated, and control algorithms, including the classical, optimal, and fuzzy controllers, are given for the UAV. The performance of different control methods is investigated and the results compared. State Estimation and Control of Low-Cost Unmanned Aerial Vehicles covers all the important issues for designing a guidance, navigation and control (GNC) system of a low-cost UAV. It proposes significant new approaches that can be exploited by GNC system designers in the future and also reviews the current literature. The state estimation, control and FDI methods are illustrated by examples and MATLAB® simulations. State Estimation and Control of Low-Cost Unmanned Aerial Vehicles will be of interest to  both  researchers  in  academia  and  professional  engineers  in  the aerospace  industry. Graduate students may also find it useful, and some sections are suitable for an undergraduate readership. 606 $aAerospace engineering 606 $aAstronautics 606 $aAutomatic control 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aAerospace Technology and Astronautics$3https://scigraph.springernature.com/ontologies/product-market-codes/T17050 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 615 0$aAerospace engineering. 615 0$aAstronautics. 615 0$aAutomatic control. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 14$aAerospace Technology and Astronautics. 615 24$aControl and Systems Theory. 615 24$aSignal, Image and Speech Processing. 676 $a620 676 $a621.382 676 $a629.1 676 $a629.8 700 $aHajiyev$b Chingiz$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721031 702 $aErsin Soken$b Halil$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aYenal Vural$b S?tk?$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299836303321 996 $aState Estimation and Control for Low-cost Unmanned Aerial Vehicles$92542728 997 $aUNINA